mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
by MoritzLaurer
--- language: - multilingual - zh - ja - ar - ko - de - fr - es - pt - hi - id - it - tr - ru - bn - ur - mr - ta - vi - fa - pl - uk - nl - sv - he - sw - ps license: mit tags: - zero-shot-classification - text-classification - nli - pytorch datasets: - MoritzLaurer/multilingual-NLI-26lang-2mil7 - ...
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--- language: - multilingual - zh - ja - ar - ko - de - fr - es - pt - hi - id - it - tr - ru - bn - ur - mr - ta - vi - fa - pl - uk - nl - sv - he - sw - ps license: mit tags: - zero-shot-classification - text-classification - nli - pytorch datasets: - MoritzLaurer/multilingual-NLI-26lang-2mil7 - xnli - multi_nli - facebook/anli - fever - lingnli - alisawuffles/WANLI metrics: - accuracy pipeline_tag: zero-shot-classification widget: - text: Angela Merkel ist eine Politikerin in Deutschland ...
📝 Limitations & Considerations
- • Benchmark scores may vary based on evaluation methodology and hardware configuration.
- • VRAM requirements are estimates; actual usage depends on quantization and batch size.
- • FNI scores are relative rankings and may change as new models are added.
- • Data source: [{"source_platform":"huggingface","source_url":"https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7","fetched_at":"2025-12-18T04:21:59.020Z","adapter_version":"3.2.0"}]
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